Algosys College Basketball

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Will Darley

Only corroborated player-season records; not complete career coverage.

Observed career performance

959:54 minutes logged

Games logged
31
Minutes per game
30:58
Points per game
13.1
Rebounds / assists per game
4.0 / 1.7
Box line on three bases
BasisPtsRebAstStlBlkTOPF
Per game13.14.01.70.60.21.72.2
Per 40 minutes17.05.22.30.80.22.32.9
Season totals407125542055469
Shooting with attempts
ShotMade–att.PctAtt/GAtt/40
FG139–29347.4%9.512.2
2P72–14848.6%4.86.2
3P67–14546.2%4.76.0
FT62–7384.9%2.43.0
Derived rates (computed here from the box line, not published statistics)
eFG%Estimated TS%3PA / FGAFTA / FGAAST / TO
58.9%62.6%49.5%24.9%1.00

Combined corroborated seasons only; not complete career coverage. † marks a rate on fewer attempts than the floor (field goal 100, three-point 50, free throw 25). Floors are descriptive, not model output. Definitions

Linked seasons

Linked seasons, per-game and shooting rates. † marks a rate on fewer attempts than the declared floor.
SeasonTeamGMPGPtsRebAstPts/403P%FT%TS%
2016 Will DarleyUMBC 2229:1212.34.01.716.945.1%86.3%63.2%
2017 Will DarleyUMBC 9Few games35:1615.14.01.817.148.1%81.8%†61.4%

Career identity corroborated by repeated game, team and individual-statistic matches. Unlinked seasons are excluded.

Speculative compensation · 2025–26β

No speculative compensation is published for this player: there is no current-season team to read a pool from.

No revenue-sharing budget existed before the 2025–26 season, so no compensation figure is modelled for earlier seasons.

Model-implied value and speculative compensation by seasonβ

No model-implied value is published for this player: fewer than 300 on-court possessions in every season, or the team’s games were outside the lineup audit.

Seasons played, with no model-implied value published
SeasonTeamSpeculative compensation (best guess)Compensation 80% rangeSplit roleValue
2017Not applicabletraining: in model fitNo model-implied value is published.
2016Not applicabletraining: in model fitNo model-implied value is published.

NIL methodology